Meesho says AI now generates more than 70% of its codebase
SoftBank-backed e-commerce platform Meesho revealed that more than 70 percent of its code is now generated using AI tools, marking a significant shift in how the company builds products and manages engineering operations.
Chief executive Vidit Aatrey said the company had made a deliberate strategic choice to treat AI as foundational to its development process. "We have made a deliberate bet on AI as the operating system for how we build," Aatrey said.
The company is releasing products faster and with greater reliability than at any previous point in its history, according to Aatrey's comments.
What Meesho is doing differently
Rather than limiting AI to customer-facing features, Meesho is embedding automation directly into generative code generation and operational workflows.
The company's approach includes:
- AI-generated code now makes up more than 70% of the codebase
- Automation integrated across operational workflows
- Accelerated product release cycles through AI-assisted development
- Improved reliability and execution speed
Meesho has not disclosed which specific AI tools or models power its code generation, nor has it detailed how engineering teams review and govern AI-generated code internally.
Broader adoption across Indian startups
Meesho's strategy reflects a wider trend across India's startup ecosystem. Technology companies are increasingly using generative AI to automate software engineering, logistics, customer support and internal operations.
Globally, companies have accelerated investments in AI-powered coding systems over the past two years. The goal is straightforward: improve developer productivity and reduce repetitive engineering work.
For consumer internet companies operating in competitive markets, faster deployment and operational efficiency have become critical advantages. Meesho faces intensifying competition across India's e-commerce sector, particularly in value-focused digital commerce.
The governance question
Aatrey's description of AI as the "operating system" for product development suggests the technology influences workflows far beyond simple code writing. Industry observers note that AI-generated code can shorten development cycles, automate routine tasks and free engineering teams to focus on higher-level architecture and innovation.
At the same time, growing reliance on AI-generated software has raised questions about quality control, cybersecurity and governance frameworks. Meesho has not publicly outlined how much manual engineering oversight goes into reviewing AI-generated code.
A shift in how companies build
The trend reflects a wider transformation across the global technology sector. Companies are moving beyond pilot projects and treating AI as a foundational operational layer capable of reshaping how digital products are designed, tested and deployed.
For Meesho, greater automation could improve execution speed while supporting platform scalability in an evolving e-commerce market. The company's comments also show how generative AI is becoming embedded in day-to-day business operations rather than remaining an experimental technology.
As AI adoption expands further across the startup ecosystem, companies will continue balancing automation gains with concerns around governance, reliability and workforce adaptation.
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